2017
DOI: 10.1088/1361-6641/aa62f2
|View full text |Cite
|
Sign up to set email alerts
|

Flexible thermoelectric nanogenerator based on the MoS2/graphene nanocomposite and its application for a self-powered temperature sensor

Abstract: In this work, we report on a flexible thermoelectric nanogenerator (NG) based on the MoS 2 / graphene nanocomposite. The nanocomposite thermoelectric nanogenerator shows enhanced thermoelectric performance, compared with that based solely on MoS 2 nanomaterials, which may be due to the enhanced electrical conductivity resulting from the graphene acting as a charge transfer channel in the composites. The NG can be further applied as a self-powered sensor for temperature measurement. This work indicates that the… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
30
0

Year Published

2017
2017
2023
2023

Publication Types

Select...
9

Relationship

1
8

Authors

Journals

citations
Cited by 59 publications
(34 citation statements)
references
References 21 publications
0
30
0
Order By: Relevance
“…However, the Seebeck coefficient and thermal conductivity of graphene are ≈40 to180 μV K −1 at ≈250 to 300 K, ≈2000 to 5000 W m −1 K −1 at 300 K. Such a high thermal conductivity and relatively low Seebeck coefficient are hindered its application as a thermoelectric material, but it can be used as additive to other thermoelectric materials to improve the thermoelectric performance according to pervious work. For instance, Xie et al [ 51 ] fabricated the miniaturized flexible thermoelectric nanogenerator based on the MoS 2 /graphene nanocomposite. Particularly, the addition of graphene as a charge transfer channel improved the conductivity of the electrode material so that the nanocomposite thermoelectric nanogenerator displayed higher thermoelectric performance.…”
Section: Graphene‐based Materials For Mehdsmentioning
confidence: 99%
“…However, the Seebeck coefficient and thermal conductivity of graphene are ≈40 to180 μV K −1 at ≈250 to 300 K, ≈2000 to 5000 W m −1 K −1 at 300 K. Such a high thermal conductivity and relatively low Seebeck coefficient are hindered its application as a thermoelectric material, but it can be used as additive to other thermoelectric materials to improve the thermoelectric performance according to pervious work. For instance, Xie et al [ 51 ] fabricated the miniaturized flexible thermoelectric nanogenerator based on the MoS 2 /graphene nanocomposite. Particularly, the addition of graphene as a charge transfer channel improved the conductivity of the electrode material so that the nanocomposite thermoelectric nanogenerator displayed higher thermoelectric performance.…”
Section: Graphene‐based Materials For Mehdsmentioning
confidence: 99%
“…However, due to the dangling bonds and lattice mismatch, it is difficult for the traditional materials to achieve atomically flat heterostructure interfaces, which limits the development of nanoscale PN heterostructures [ 1 , 2 , 3 ]. Two-dimensional (2D) layered materials have attracted widespread attention due to their novel and unique electronic and optical properties [ 4 , 5 ]. The discovery of graphene and transition metal dichalcogenide (TMD) materials has brought new opportunities for the development of PN junction components [ 6 ].…”
Section: Introductionmentioning
confidence: 99%
“…The structure of 2D transition metal dichalcogenide (TMDs) materials is similar to that of graphene, and its band gap width changes with the layer number and thickness [11,12]. The TMDs and graphene materials with complementary advantages are superimposed together, which can promote the application of graphene and TMDs materials in the photoelectric detection field [13][14][15]. The high mobility of graphene can ensure the rapid response of device, and the Van Hof singularity in electronic state density of TMDs materials ensures the strong interaction between light and materials, which can effectively enhance the absorption of light and the generation of electron-hole pairs [16,17].…”
Section: Introductionmentioning
confidence: 99%